Feature Vector Extraction Algorithm Based on Big Data in Engineering Quality

With the advent of information age, network has played a role in promoting development various industries. As construction enterprise, it is necessary to integrate new technologies achieve scientific management and construction. Engineering quality control lifeblood determining merits project, which life engineering key winning users, developing enterprises occupying market. Based on current problems encountered China’s industry, comprehensive evaluation system based big data paper proposed, method risk eigenvector model are extracted, processed analyzed. In paper, feature vector designed. The genetic algorithm used solve function as nonlinear optimization problem. extraction optimized. projection processing define influencing factor value. project After testing analyzing model, proves that more objective reasonable from analysis, generation mechanism indicators, provides reference for enterprises.